Data Screening in SPSS- Part 4: Univariate Outliers

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  • Опубликовано: 11 сен 2024
  • A quick tutorial on screening for univariate outliers in SPSS

Комментарии • 9

  • @SiobhanPhD
    @SiobhanPhD  11 лет назад +2

    That's a general rule; anything beyond a z-score of 3.29 is highly unlikely to occur. 99.95% of scores in a normal distribution will have z-score smaller that 3.29 as an absolute value.

  • @Brumfield85
    @Brumfield85 5 лет назад

    This was very clear and helpful thank you!

  • @yogi20777
    @yogi20777 10 лет назад +2

    I know your steps to identify Univariate Outliers, but my problem is what have to do with those extreme values? do we have to remove them or keep them such that way in SPSS data set?... you know I tried to remove them from cells SPSS data set in order to include data set for being processed in my model of AMOS software. But something weird gone wrong that my AMOS process won't work, due to missing values I removed them from SPSS data set. I think It has to do between missing data set in SPSS and AMOS data file for processing my model. So.. do I have to add for new ID data to complete and renew the blank values? what are your answers and suggestions for my whole questions and statements?

  • @sabrinameier4757
    @sabrinameier4757 6 лет назад

    I wanted to ask if I have a Scale (like a total of 6 items) is it then a univariate outlier or a multivariate outlier? Thanks!

  • @sanatla_iyilesme
    @sanatla_iyilesme 9 лет назад

    Hello Siobhan,
    Thanks for your video, is there any reference on this? Thanks

  • @student7711
    @student7711 9 лет назад +1

    Hello Siobhan,
    You mention the Z value should be + or - 3.29. What is the Basis for this? Most readings I have are based on + or - 3.0

    • @EdvanAguiarEA
      @EdvanAguiarEA 8 лет назад

      +Student 77, which references do you have for the Z score?

    • @akramabdulsamad7282
      @akramabdulsamad7282 5 лет назад +2

      @@EdvanAguiarEA I think, Hair 2017 pointed out

    • @bandungmee
      @bandungmee 11 месяцев назад

      @@akramabdulsamad7282 Thanks
      An outlier designation then occurs when an observation falls well to the outer boundaries of the distribution of values, many times identified as cases with standardized values of +-3, which makes them quite unique in terms of that characteristic (Hair, 2019)